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Development of Breast Cancer Predication Model Using Neural Networks

Choi JW

  • KMID: 2329735
  • J Korean Soc Med Inform.
  • 1998 Jun;4(1):83-87.
This paper describes the developing a neural network breast cancer prediction model using neural network. Neural Networks are nonparametric, pattern recognition techniques that can be used to complex biological relationships....
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On the Use of Neural Networks for the Risk Factor Analysis of NIDDM

Suh HS, Choi JW, Lee HK, Min BG

  • KMID: 2329756
  • J Korean Soc Med Inform.
  • 1998 Dec;4(2):127-131.
There were many cases to apply artificial intelligence to medicine. Neural networks are nonparametric pattern recognition techniques that can be used to model complex relationships. In this paper, we present...
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NEURAL NETWORK MODEL OF MECHANISM OF PARKINSON SYMPTOMS

Choi KG, Kim YJ, Park KD

  • KMID: 2342667
  • J Korean Neurol Assoc.
  • 1998 Jun;16(3):326-330.
BACKGROUND: Despite recent advances in the understanding of the pathophysiology based on the clinical symptomatology, neurobiology, and electrophysiology, little is known about the precise function the basal ganglia play in...
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Striatal Network Model in Parkinson Disease: Preliminary Study

Choi KG, Park KD

OBJECTIVE: To construct the neural network model in the striatum that can explain the clin-ical effect of Parkinson disease. METHODS: We use an approach to studying the function of neural systems...
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Dental age estimation using the pulp-to-tooth ratio in canines by neural networks

Farhadian , Salemi F, Saati S, Nafisi N

PURPOSE: It has been proposed that using new prediction methods, such as neural networks based on dental data, could improve age estimation. This study aimed to assess the possibility of...
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Preliminary Study of Experimental Neural Network Model in the Nervous System

Choi KG, Park KD

Present knowledge of brain mechanism is mainly based on anatomical and physiological studies. Such studies are however insufficient to understand the information processing of thebrain. The present new focus on...
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Nodule Detection in a Lung Region that's Segmented with Using Genetic Cellular Neural Networks and 3D Template Matching with Fuzzy Rule Based Thresholding

Ozekes S, Osman O, Ucan ON

OBJECTIVE: The purpose of this study was to develop a new method for automated lung nodule detection in serial section CT images with using the characteristics of the 3D appearance...
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Prediction of oculocardiac reflex in strabismus surgery using neural networks

Kim WO, Kil HK, Lee JS, Lee JH

Successfully predicting an oculocardiac reflex (OCR) is difficult to achieve despite various proposed maneuvers. The aim of this study was to test the models built up by neural...
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Effect of Synaptic Loss on Memory in a Neural Network Model

Koh IS, Park JW, Choi BK, Kim CK, Yoon SH

  • KMID: 1852233
  • J Korean Neurol Assoc.
  • 2000 Jan;18(1):44-49.
BACKGROUND: In order to understand the pathogenesis and symptom development in Alzheimer's disease (AD), we attempted to develop a computer model for memory impairment in this study. METHODS: We made...
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Study on the Voiding Detection System Using Wearable Device

Hwang YS

No abstract available.
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Neural Network Model of Basal Ganglia: Preliminary Study

Choi KG

  • KMID: 2342516
  • J Korean Neurol Assoc.
  • 1996 Jun;14(2):455-462.
A parallel distributed neural network model of basal ganglia based on the neuroanatomy, neuropharmacology and neurophysiology is described. Despite recent advances in the understanding of the pathophysiology of movement disorders,...
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A Survival Prediction Model for Rats with Hemorrhagic Shock Using an Artificial Neural Network

Lee JH, Choi JL, Chung SW, Kim DW

  • KMID: 2332749
  • J Korean Soc Emerg Med.
  • 2010 Jun;21(3):321-327.
PURPOSE: To achieve early diagnosis of hemorrhagic shock using a survival prediction model in rats. METHODS: We measured heart rate, mean arterial pressure, respiration rate and temperature in 45 Sprague-Dawley rats,...
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Anesthesia research in the artificial intelligence era

Lee HC, Jung CW

A noteworthy change in recent medical research is the rapid increase of research using big data obtained from electrical medical records (EMR), order communication systems (OCS), and picture archiving and...
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PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts

Armengol-Estapé J, Soares F, Marimon M, Krallinger M

Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions...
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Two Fronts of Future Medicine

Kim JW

No abstract available.
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Comparison of Predictive Models for the Early Diagnosis of Diabetes

Jahani M, Mahdavi M

OBJECTIVES: This study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts. METHODS: We...
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Comparison of Hospital Charge Prediction Models for Colorectal Cancer Patients: Neural Network vs. Decision Tree Models

Lee SM, Kang JO, Suh YM

Analysis and prediction of the care charges related to colorectal cancer in Korea are important for the allocation of medical resources and the establishment of medical policies because the incidence...
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Prediction on lengths of stay in the postanesthesia care unit following general anesthesia: preliminary study of the neural network and logistic regression delling

Kim WO, Kil HK, Kang JW, Park HR

The length of stay in the postanesthesia care unit (PACU) following general anesthesia in adults is an important issue. A model, which can predict the results of PACU stays, could...
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Deep Learning in Medical Imaging: General Overview

Lee JG, Jun S, Cho YW, Lee H, Kim GB, Seo JB, Kim N

The artificial neural network (ANN)–a machine learning technique inspired by the human neuronal synapse system–was introduced in the 1950s. However, the ANN was previously limited in its ability to solve...
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Development of a Nursing Diagnosis System Using a Neural Network Model

Lee EO, Song MS, Kim MK, Park HA

  • KMID: 2326975
  • J Nurs Acad Soc.
  • 1996 Jun;26(2):281-289.
Neural networks have recently attracted considerable attention in the field of classification and other areas. The purpose of this study was to demonstrate an experiment using back-propagation neural network model...
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